Data science and AI engineering company Tredence has announced that it will hire over 1,000 technology and analytics professionals in the next 12 months, as per the company's statement.
Since its Series A funding of $30 million in December 2020, Tredence has recruited over 500 staff across various roles and skill sets. This extensive scale-up has resulted in the company reaching the milestone of 1,000 employees worldwide. The job opportunities offered by the company include data analysts, business analysts, data engineers, data scientists, data product owners, cloud platform developers and technical architects among others.
Founded in 2013, Tredence claims to have maintained a compound annual growth rate (CAGR) of 50 per cent. “This enhanced focus on hiring is part of our strategy to invest in and build a strong talent pool of analytics and engineering professionals to drive value for our clients,” said Shub Bhowmick, CEO and co-founder of Tredence. The company had recently announced an employee stock buyback program of $3.5 million.
“The analytics industry has advanced leaps and bounds in the last few years, but the focus on last-mile adoption and value realization continues to be paramount. We are doubling our employee strength to further enable our clients in becoming insights-driven organizations,” Bhowmick added.
Job opportunities are available for several roles including data analysts, business analysts, data engineers, data scientists, data product owners, cloud platform developers and technical architects etc.
Saurabh Upadhyay, Chief People Officer, Tredence said, "We are meticulous about choosing the best talent and committed to investing in their career and personal growth. As an adaptive organisation, we are focused on creating a culture of continuous learning and shaping career opportunities for professionals to stay ahead of the times."
Tredence is a data science and AI engineering company focused on solving the last mile problem in analytics. With the new rounds of hiring, the company aims to unleash their potential in the AI sector and reach new heights of organizational problem-solving.